In this course, you will learn about Decision Making under Uncertainty. This means how to model this type of problems and how to solve them, as well as the practical ethical issues that you need to take into account for automated, data-based decision makers. The course takes an interdisciplinary approach by combining perspectives from practical ethics and computer science.

Invited Speakers

We have secured the presence of some fantastic speakers for this lecture.

These researchers are experts in AI planning applied to Robotics.

This researcher is interested in the philosophy of data science, and how formal models can guide policy decisions.

This researcher works on solving problems of planning under uncertainty.

Updated:    26 Jun 2020 / Responsible Officer:    Head of School / Page Contact:    Alban Grastien / License:    CC BY-NC-SA 4.0